MacBook Air (2022)
Geekbench AI Score
3318
Single Precision Score
27865
Half Precision Score
31084
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 21 2026 10:13 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 26.4 (Build 25E5207k) |
| Model | MacBook Air (2022) |
| Model ID | Mac14,2 |
| Motherboard | Mac14,2 |
| CPU Information | |
|---|---|
| Name | Apple M2 |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M2 |
| Base Frequency | 3.46 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1248
232.1 IPS |
|
|
Image Classification (HP)
|
100% |
13759
2.56 KIPS |
|
|
Image Classification (Q)
|
97% |
15209
2.84 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1356
22.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
19277
312.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
24062
390.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6001
7.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
105355
122.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
105173
123.3 IPS |
|
|
Object Detection (SP)
|
100% |
1331
105.6 IPS |
|
|
Object Detection (HP)
|
99% |
15838
1.26 KIPS |
|
|
Object Detection (Q)
|
89% |
17779
1.42 KIPS |
|
|
Face Detection (SP)
|
100% |
2846
33.8 IPS |
|
|
Face Detection (HP)
|
100% |
34609
411.2 IPS |
|
|
Face Detection (Q)
|
100% |
46322
550.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5118
39.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
86273
664.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
109966
860.2 IPS |
|
|
Style Transfer (SP)
|
100% |
17173
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
202949
260.9 IPS |
|
|
Style Transfer (Q)
|
96% |
189198
244.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3612
133.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
42318
1.56 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
49081
1.81 KIPS |
|
|
Text Classification (SP)
|
99% |
4029
5.38 KIPS |
|
|
Text Classification (HP)
|
100% |
6505
8.68 KIPS |
|
|
Text Classification (Q)
|
93% |
6524
8.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
3288
56.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3824
65.9 IPS |
|
|
Machine Translation (Q)
|
98% |
3988
68.9 IPS |
